Abstract:
The structure prediction problem for proteins plays an important role in the protein
process. This is a notoriously hard problem and been able to achieve good prediction
performance with new methods will certainly have an impact in both the computational
arena but also in the Bioinformatics field. This paper proposes a novel classification
approach using a binary expansion method based on the density concept for homogenous
clauses to predict protein folding structures. The successes of this approach are
demonstrated on several protein data sets whose structure is partially known.
Key Words:
Protein folding, homogenous clause, binary expansion.
